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Grant: Applied Research and Development Grants - Level 1

Seneca College of Applied Arts and Technology

$25,000.00

Machine Learning of Connectivity and Usage Patterns for Improved Online Contact Search

EF 2017-18

Résumé
The Networking Effect (TNE) is an all-in-one e-tool that supports connectivity and the building of business relationships. It letsindividuals and organizations build, increase and manage their business network quickly and easily. More than just a database ofbusiness cards, TNEs goal is to go beyond services such as LinkedIn with a much stronger focus on business (and evenpersonal) interests and goals. TNE members can intelligently search for other members based on their current goals, helpingpeople find others with convergent, but not necessarily similar objectives.The TNE platform currently exists as an online web-based tool and as a mobile app. It has the ability to connect professionals andto build a directory within existing organizational websites. It allows members to find matches by doing conventional searches onmember profiles and key words (such as name, industry or company). What it lacks is a robust search capability and the ability tomake intelligent recommendations about which professionals you should connect with, and when. Through this collaborativeapplied research project, TNE will engage with Seneca College researchers to develop an advanced search functionality to beintegrated into the TNE proprietary platform. Ultimately, this will add intelligence to the search capability of the existing TNEplatform to drive better connections, something that will significantly differentiate it from other platforms on the market.
Programme
Applied Research and Development Grants - Level 1
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
513927-2017
Name nom
Williamson, Vanessa
Department département
Markham Campus
Organization id
1803
Institution établissement
Seneca College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
1
Nb partie
1
Application title
Machine Learning of Connectivity and Usage Patterns for Improved Online Contact Search
Keyword
NSERC
Application summary
The Networking Effect (TNE) is an all-in-one e-tool that supports connectivity and the building of business relationships. It letsindividuals and organizations build, increase and manage their business network quickly and easily. More than just a database ofbusiness cards, TNEs goal is to go beyond services such as LinkedIn with a much stronger focus on business (and evenpersonal) interests and goals. TNE members can intelligently search for other members based on their current goals, helpingpeople find others with convergent, but not necessarily similar objectives.The TNE platform currently exists as an online web-based tool and as a mobile app. It has the ability to connect professionals andto build a directory within existing organizational websites. It allows members to find matches by doing conventional searches onmember profiles and key words (such as name, industry or company). What it lacks is a robust search capability and the ability tomake intelligent recommendations about which professionals you should connect with, and when. Through this collaborativeapplied research project, TNE will engage with Seneca College researchers to develop an advanced search functionality to beintegrated into the TNE proprietary platform. Ultimately, this will add intelligence to the search capability of the existing TNEplatform to drive better connections, something that will significantly differentiate it from other platforms on the market.